| 2020 | 20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020 Claudia Plant, Haixun Wang, Alfredo Cuzzocrea, Carlo Zaniolo, Xindong Wu |
| 2020 | A Generalized-Momentum-Accelerated Hessian-Vector Algorithm for High-Dimensional and Sparse Data. Weiling Li, Xin Luo |
| 2020 | A Goal-Prioritized Algorithm for Additional Route Deployment on Existing Mass Transportation System. Fandel Lin, Hsun-Ping Hsieh |
| 2020 | A Heterogeneous Spatiotemporal Network for Lightning Prediction. Yangli-ao Geng, Qingyong Li, Tianyang Lin, Jing Zhang, Liangtao Xu, Wen Yao, Dong Zheng, Weitao Lyu, Heng Huang |
| 2020 | A Hidden Challenge of Link Prediction: Which Pairs to Check? Caleb Belth, Alican Büyükçakir, Danai Koutra |
| 2020 | A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs. Susheel Suresh, Jennifer Neville |
| 2020 | A Primal-Dual Subgradient Approach for Fair Meta Learning. Chen Zhao, Feng Chen, Zhuoyi Wang, Latifur Khan |
| 2020 | A Weighted Overlook Graph Representation of EEG Data for Absence Epilepsy Detection. Jialin Wang, Shen Liang, Ye Wang, Yanchun Zhang, Dake He, Jiangang Ma, Chunyang Ruan, Yingpei Wu, Xiaoyuan Hong, Jiaqiu Shen |
| 2020 | A mixed integer linear programming approach for soft graph clustering. Vicky H. Mak-Hau, John Yearwood |
| 2020 | AANE: Anomaly Aware Network Embedding For Anomalous Link Detection. Dongsheng Duan, Lingling Tong, Yangxi Li, Jie Lu, Lei Shi, Cheng Zhang |
| 2020 | AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting. Yi-Ju Lu, Cheng-Te Li |
| 2020 | Active Learning with Multi-Granular Graph Auto-Encoder. Yi He, Xu Yuan, Nian-Feng Tzeng, Xindong Wu |
| 2020 | Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang |
| 2020 | Adversarial Label-Flipping Attack and Defense for Graph Neural Networks. Mengmei Zhang, Linmei Hu, Chuan Shi, Xiao Wang |
| 2020 | Adversarial Precision Sensing with Healthcare Applications. Fengyi Tang, Lifan Zeng, Fei Wang, Jiayu Zhou |
| 2020 | An Interpretable Data Embedding under Uncertain Distance Information. Nikolaos M. Freris, Michalis Vlachos, Ahmad Ajalloeian |
| 2020 | Anomaly Detection on Dynamic Bipartite Graph with Burstiness. Zhe Chen, Aixin Sun |
| 2020 | Approximation algorithms for probabilistic $k$-center clustering. Sharareh Alipour |
| 2020 | AtNE-Trust: Attributed Trust Network Embedding for Trust Prediction in Online Social Networks. Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Chuan Zhou, Qianli Xing |
| 2020 | AutoClust: A Framework for Automated Clustering based on Cluster Validity Indices. Yannis Poulakis, Christos Doulkeridis, Dimosthenis Kyriazis |
| 2020 | AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu |
| 2020 | Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off. Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos |
| 2020 | BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search. Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin |
| 2020 | Bandits Under the Influence. Silviu Maniu, Stratis Ioannidis, Bogdan Cautis |
| 2020 | Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework. Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram |
| 2020 | BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes. Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang |
| 2020 | Bottom-Up and Top-Down: Predicting Personality with Psycholinguistic and Language Model Features. Yash Mehta, Samin Fatehi, Amirmohammad Kazameini, Clemens Stachl, Erik Cambria, Sauleh Eetemadi |
| 2020 | Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction. Yijun Lin, Yao-Yi Chiang, Meredith Franklin, Sandrah P. Eckel, José Luis Ambite |
| 2020 | CITIES: Contextual Inference of Tail-item Embeddings for Sequential Recommendation. Seongwon Jang, Hoyeop Lee, Hyunsouk Cho, Sehee Chung |
| 2020 | COPOD: Copula-Based Outlier Detection. Zheng Li, Yue Zhao, Nicola Botta, Cezar Ionescu, Xiyang Hu |
| 2020 | Classifier Invariant Approach to Learn from Positive-Unlabeled Data. Amit Dhurandhar, Karthik S. Gurumoorthy |
| 2020 | Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks. Carl Yang, Jieyu Zhang, Jiawei Han |
| 2020 | Cold Item Recommendations via Hierarchical Item2vec. Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein |
| 2020 | Community Attention Network for Semi-supervised Node Classification. Zhongjing Yu, Han Wang, Yang Liu, Christian Böhm, Junming Shao |
| 2020 | Community Detection with Local Metric Learning. Peiyan Li, Honglian Wang, Jianyun Lu, Qinli Yang, Junming Shao |
| 2020 | Community Preserved Social Graph Publishing with Node Differential Privacy. Sen Zhang, Weiwei Ni, Nan Fu |
| 2020 | Confidence Calibration on Multiclass Classification in Medical Imaging. Wenjing Yang, Zhantao Cao, Qin Chen, Yuhong Yang, Guowu Yang |
| 2020 | Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis. Hanzi Mao, Xi Liu, Nick Duffield, Hao Yuan, Shuiwang Ji, Binayak P. Mohanty |
| 2020 | CorDEL: A Contrastive Deep Learning Approach for Entity Linkage. Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji |
| 2020 | Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure. Chun Wang, Bo Han, Shirui Pan, Jing Jiang, Gang Niu, Guodong Long |
| 2020 | Data-Agnostic Local Neighborhood Generation. Riccardo Guidotti, Anna Monreale |
| 2020 | Deep Incomplete Multi-View Multiple Clusterings. Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang |
| 2020 | Deep Semantic Network Representation. Xuexiong Luo, Jia Wu, Chuan Zhou, Xiankun Zhang, Yuan Wang |
| 2020 | Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis. Sunny Verma, Jiwei Wang, Zhefeng Ge, Rujia Shen, Fan Jin, Yang Wang, Fang Chen, Wei Liu |
| 2020 | Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection. Dongjie Wang, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, Yanjie Fu |
| 2020 | Detecting Hierarchical Changes in Latent Variable Models. Shintaro Fukushima, Kenji Yamanishi |
| 2020 | Dissimilarity Random Forest Clustering. Manuele Bicego |
| 2020 | DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis. Chuheng Zhang, Yuanqi Li, Xi Chen, Yifei Jin, Pingzhong Tang, Jian Li |
| 2020 | Dual-Side Auto-Encoder for High-Dimensional Time Series Segmentation. Yue Bai, Lichen Wang, Yunyu Liu, Yu Yin, Yun Fu |
| 2020 | Dynamic Connected Neural Decision Classifier and Regressor with Dynamic Softing Pruning. Xinyu Fan, Hui Xu, Jiahong Wu, Chao Tong, Kai Wang, Jianfei Song, Ze Huang |
| 2020 | Dynamic Graph Collaborative Filtering. Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu |
| 2020 | Dynamic Similarity Search on Integer Sketches. Shunsuke Kanda, Yasuo Tabei |
| 2020 | EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data. Ivan Sukharev, Valentina Shumovskaia, Kirill Fedyanin, Maxim Panov, Dmitry Berestnev |
| 2020 | Effective Proximal Methods for Non-convex Non-smooth Regularized Learning. Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi |
| 2020 | Effects of Model Misspecification on Bayesian Bandits Case Studies in UX Optimization. Mack Sweeney, Matthew van Adelsberg, Kathryn B. Laskey, Carlotta Domeniconi |
| 2020 | Efficient Top-k Temporal Closeness Calculation in Temporal Networks. Lutz Oettershagen, Petra Mutzel |
| 2020 | Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization. Prashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang |
| 2020 | Ensemble Learning for Spectral Clustering. Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai |
| 2020 | ErGAN: Generative Adversarial Networks for Entity Resolution. Jingyu Shao, Qing Wang, Asiri Wijesinghe, Erhard Rahm |
| 2020 | Estimating Individual Treatment Effects with Time-Varying Confounders. Ruoqi Liu, Changchang Yin, Ping Zhang |
| 2020 | Evolution of Real-world Hypergraphs: Patterns and Models without Oracles. Yunbum Kook, Jihoon Ko, Kijung Shin |
| 2020 | Exploiting Inconsistency Problem in Multi-label Classification via Metric Learning. Peiyan Li, Zhili Qin, Honglian Wang, Qinli Yang, Junming Shao |
| 2020 | Exploiting Knowledge Hierarchy for Finding Similar Exercises in Online Education Systems. Wei Tong, Shiwei Tong, Wei Huang, Liyang He, Jianhui Ma, Qi Liu, Enhong Chen |
| 2020 | Exploratory Adversarial Attacks on Graph Neural Networks. Xixun Lin, Chuan Zhou, Hong Yang, Jia Wu, Haibo Wang, Yanan Cao, Bin Wang |
| 2020 | Extremely Sparse Johnson-Lindenstrauss Transform: From Theory to Algorithm. Rong Yin, Yong Liu, Weiping Wang, Dan Meng |
| 2020 | Fairness Perception from a Network-Centric Perspective. Farzan Masrour, Pang-Ning Tan, Abdol-Hossein Esfahanian |
| 2020 | Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning. Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, Wei Wang |
| 2020 | Fast Automatic Feature Selection for Multi-Period Sliding Window Aggregate in Time Series. Rui An, Xingtian Shi, Baohan Xu |
| 2020 | Fast Distance Metrics in Low-dimensional Space for Neighbor Search Problems. Guihong Wan, Crystal Maung, Chenxu Zhang, Haim Schweitzer |
| 2020 | Fast Sparse Connectivity Network Adaption via Meta-Learning. Bo Jin, Ke Cheng, Yue Qu, Liang Zhang, Keli Xiao, Xinjiang Lu, Xiaopeng Wei |
| 2020 | Fast Spatial Autocorrelation. Anar Amgalan, Lilianne R. Mujica-Parodi, Steven S. Skiena |
| 2020 | Fast and Accurate Time Series Classification Through Supervised Interval Search. Nestor Cabello, Elham Naghizade, Jianzhong Qi, Lars Kulik |
| 2020 | FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding. Menglin Yang, Ziqiao Meng, Irwin King |
| 2020 | FilCorr: Filtered and Lagged Correlation on Streaming Time Series. Sheng Zhong, Vinícius M. A. de Souza, Abdullah Mueen |
| 2020 | Finding Teams of Maximum Mutual Respect. Sofia Maria Nikolakaki, Evaggelia Pitoura, Evimaria Terzi, Panayiotis Tsaparas |
| 2020 | Force2Vec: Parallel force-directed graph embedding. Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad |
| 2020 | FreqST: Exploiting Frequency Information in Spatiotemporal Modeling for Traffic Prediction. Xian Zhou, Yanyan Shen, Linpeng Huang |
| 2020 | GRosSo: Mining Statistically Robust Patterns from a Sequence of Datasets. Andrea Tonon, Fabio Vandin |
| 2020 | Generalizing Universal Adversarial Attacks Beyond Additive Perturbations. Yanghao Zhang, Wenjie Ruan, Fu Wang, Xiaowei Huang |
| 2020 | Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin |
| 2020 | Graph Pooling with Representativeness. Juan-Hui Li, Yao Ma, Yiqi Wang, Charu C. Aggarwal, Chang-Dong Wang, Jiliang Tang |
| 2020 | Graph Sparsification with Generative Adversarial Network. Hang-Yang Wu, Yi-Ling Chen |
| 2020 | GraphEBM: Energy-based Graph Construction for Semi-Supervised Learning. Zhijie Chen, Hongtai Cao, Kevin Chen-Chuan Chang |
| 2020 | Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection. Yong-Nan Zhu, Xiaotian Luo, Yufeng Li, Bin Bu, Kaibo Zhou, Wenbin Zhang, Mingfan Lu |
| 2020 | Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties. Zeren Shui, George Karypis |
| 2020 | Heterogeneous Transfer Learning on Power Systems: A Merged Multi-Modal Gaussian Graphical Model. Haoran Li, Yang Weng, Hanghang Tong |
| 2020 | HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks. Yunxiang Zhao, Qiuhong Ke, Flip Korn, Jianzhong Qi, Rui Zhang |
| 2020 | Hide and Mine in Strings: Hardness and Algorithms. Giulia Bernardini, Alessio Conte, Garance Gourdel, Roberto Grossi, Grigorios Loukides, Nadia Pisanti, Solon P. Pissis, Giulia Punzi, Leen Stougie, Michelle Sweering |
| 2020 | Hybrid Context-Aware Word Sense Disambiguation in Topic Modeling based Document Representation. Wenbo Li, Einoshin Suzuki |
| 2020 | Improving Object Detection with Relation Mining Network. Shengjia Chen, Zhixin Li, Feicheng Huang, Canlong Zhang, Huifang Ma |
| 2020 | Inductive Granger Causal Modeling for Multivariate Time Series. Yunfei Chu, Xiaowei Wang, Jianxin Ma, Kunyang Jia, Jingren Zhou, Hongxia Yang |
| 2020 | Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities. Yingkui Wang, Di Jin, Carl Yang, Jianwu Dang |
| 2020 | Interactive Attention Networks for Semantic Text Matching. Sendong Zhao, Yong Huang, Chang Su, Yuantong Li, Fei Wang |
| 2020 | Interest Sustainability-Aware Recommender System. Dongmin Hyun, Junsu Cho, Chanyoung Park, Hwanjo Yu |
| 2020 | Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction based on Potential Energy Fields. Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jingtian Ma, Hu Zhang |
| 2020 | J-Recs: Principled and Scalable Recommendation Justification. Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong |
| 2020 | Just Wait For It... Mining Sequential Patterns with Reliable Prediction Delays. Joscha Cüppers, Jilles Vreeken |
| 2020 | LFGCN: Levitating over Graphs with Levy Flights. Yuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov |
| 2020 | LP-Explain: Local Pictorial Explanation for Outliers. Haoyu Liu, Fenglong Ma, Yaqing Wang, Shibo He, Jiming Chen, Jing Gao |
| 2020 | LPV: A Log Parser Based on Vectorization for Offline and Online Log Parsing. Tong Xiao, Zhe Quan, Zhi-Jie Wang, Kaiqi Zhao, Xiangke Liao |
| 2020 | Learn-Prune-Share for Lifelong Learning. Zifeng Wang, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis |
| 2020 | Learning Node Representations from Noisy Graph Structures. Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi |
| 2020 | Learning Periods from Incomplete Multivariate Time Series. Lin Zhang, Alexander Gorovits, Wenyu Zhang, Petko Bogdanov |
| 2020 | Learning Personal Conscientiousness from Footprints in E-Learning Systems. Lo Pang-Yun Ting, Shan-Yun Teng, Kun-Ta Chuang, Ee-Peng Lim |
| 2020 | Learning Space-Time-Frequency Representation with Two-Stream Attention Based 3D Network for Motor Imagery Classification. Zhenqi Li, Jing Wang, Ziyu Jia, Youfang Lin |
| 2020 | Learning from Incomplete Labeled Data via Adversarial Data Generation. Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang |
| 2020 | Learning from Multi-Class Positive and Unlabeled Data. Senlin Shu, Zhuoyi Lin, Yan Yan, Li Li |
| 2020 | Learning to Undersampling for Class Imbalanced Credit Risk Forecasting. Jianfeng Chi, Guanxiong Zeng, Qiwei Zhong, Ting Liang, Jinghua Feng, Xiang Ao, Jiayu Tang |
| 2020 | LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction. Yanhui Peng, Jing Zhang |
| 2020 | MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models. Thai Le, Suhang Wang, Dongwon Lee |
| 2020 | MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments. Honghui Du, Leandro L. Minku, Huiyu Zhou |
| 2020 | MDPL-net: Multi-layer Dictionary Learning Network with Added Skip Dense Connections. Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Lin Wu, Meng Wang |
| 2020 | MERLIN: Parameter-Free Discovery of Arbitrary Length Anomalies in Massive Time Series Archives. Takaaki Nakamura, Makoto Imamura, Ryan Mercer, Eamonn J. Keogh |
| 2020 | Matrix Profile XXII: Exact Discovery of Time Series Motifs under DTW. Sara Alaee, Kaveh Kamgar, Eamonn J. Keogh |
| 2020 | Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning. Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu |
| 2020 | Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition. Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, Qing He |
| 2020 | Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market. Yujie Fan, Yanfang Ye, Qian Peng, Jianfei Zhang, Yiming Zhang, Xusheng Xiao, Chuan Shi, Qi Xiong, Fudong Shao, Liang Zhao |
| 2020 | Metric-Free Individual Fairness with Cooperative Contextual Bandits. Qian Hu, Huzefa Rangwala |
| 2020 | Mining Recurring Patterns in Real-Valued Time Series using the Radius Profile. Dieter De Paepe, Sofie Van Hoecke |
| 2020 | Mining Text Outliers in Document Directories. Edouard Fouché, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Böhm, Jiawei Han |
| 2020 | MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance. Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy |
| 2020 | Modeling Personalized Out-of-Town Distances in Location Recommendation. Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He |
| 2020 | Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction. Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Goce Ristanoski, Christopher Leckie |
| 2020 | Multi-typed Objects Multi-view Multi-instance Multi-label Learning. Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang |
| 2020 | Multivariate Time-series Anomaly Detection via Graph Attention Network. Hang Zhao, Yujing Wang, Juanyong Duan, Congrui Huang, Defu Cao, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang |
| 2020 | NAG: Neural feature aggregation framework for credit card fraud detection. Kanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Liyun He-Guelton, Michael Granitzer |
| 2020 | NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks. Hongyu Shan, Di Jin, Pengfei Jiao, Ziyang Liu, Bingyi Li, Yuxiao Huang |
| 2020 | Null-Labelling: A Generic Approach for Learning in the Presence of Class Noise. Benjamin Denham, Russel Pears, Muhammad Asif Naeem |
| 2020 | Online AUC Optimization for Sparse High-Dimensional Datasets. Baojian Zhou, Yiming Ying, Steven Skiena |
| 2020 | Online Bayesian Sparse Learning with Spike and Slab Priors. Shikai Fang, Shandian Zhe, Kuang-Chih Lee, Kai Zhang, Jennifer Neville |
| 2020 | Online Optimized Product Quantization. Chong Liu, Defu Lian, Min Nie, Hu Xia |
| 2020 | Open-World Class Discovery with Kernel Networks. Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy |
| 2020 | OpenWGL: Open-World Graph Learning. Man Wu, Shirui Pan, Xingquan Zhu |
| 2020 | Opinion Dynamics Incorporating Higher-Order Interactions. Zuobai Zhang, Wanyue Xu, Zhongzhi Zhang, Guanrong Chen |
| 2020 | Optimal Probabilistic Classification in Active Class Selection. Mirko Bunse, Dorina Weichert, Alexander Kister, Katharina Morik |
| 2020 | Order-Preserving Metric Learning for Mining Multivariate Time Series. Jie Xu, Zhenxing Xu, Bin Yu, Fei Wang |
| 2020 | Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models. Minyoung Kim, Vladimir Pavlovic |
| 2020 | PMLF: Prediction-Sampling-based Multilayer-Structured Latent Factor Analysis. Di Wu, Long Jin, Xin Luo |
| 2020 | Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He |
| 2020 | Partial Multi-label Learning using Label Compression. Tingting Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang |
| 2020 | Perfect: A Hyperbolic Embedding for Joint User and Community Alignment. Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Yang Du, Sen Su, Philip S. Yu |
| 2020 | Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data. Weijian Li, Wei Zhu, Earl Ray Dorsey, Jiebo Luo |
| 2020 | Prescriptive Learning for Air-Cargo Revenue Management. Stefano Giovanni Rizzo, Yixian Chen, Linsey Pang, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla |
| 2020 | Probabilistic Neural-Kernel Tensor Decomposition. Conor Tillinghast, Shikai Fang, Kai Zhang, Shandian Zhe |
| 2020 | Provably Robust Node Classification via Low-Pass Message Passing. Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi |
| 2020 | Pruning Deep Neural Networks with $\ell_{0}$-constrained Optimization. Dzung T. Phan, Lam M. Nguyen, Nam H. Nguyen, Jayant R. Kalagnanam |
| 2020 | Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing. Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang |
| 2020 | Random Histogram Forest for Unsupervised Anomaly Detection. Andrian Putina, Mauro Sozio, Dario Rossi, José Manuel Navarro |
| 2020 | Rethinking Dice Loss for Medical Image Segmentation. Rongjian Zhao, Buyue Qian, Xianli Zhang, Yang Li, Rong Wei, Yang Liu, Yinggang Pan |
| 2020 | Rethinking Local Community Detection: Query Nodes Replacement. Yuchen Bian, Jun Huan, Dejing Dou, Xiang Zhang |
| 2020 | Robust Collaborative Learning with Noisy Labels. Mengying Sun, Jing Xing, Bin Chen, Jiayu Zhou |
| 2020 | Robust Meta Network Embedding against Adversarial Attacks. Yang Zhou, Jiaxiang Ren, Dejing Dou, Ruoming Jin, Jingyi Zheng, Kisung Lee |
| 2020 | Robust Multi-Target Regression for Correlated Data Corruption. Xuchao Zhang, Yingwen Shao |
| 2020 | Robust Product Rating Rules Against Herding Effects: Theory and Applications. Hong Xie, Mingze Zhong |
| 2020 | STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation. Haoyu Han, Mengdi Zhang, Min Hou, Fuzheng Zhang, Zhongyuan Wang, Enhong Chen, Hongwei Wang, Jianhui Ma, Qi Liu |
| 2020 | Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao |
| 2020 | Semantics-assisted Wasserstein Learning for Topic and Word Embeddings. Changchun Li, Ximing Li, Jihong Ouyang, Yiming Wang |
| 2020 | Semi-Supervised Abductive Learning and Its Application to Theft Judicial Sentencing. Yu-Xuan Huang, Wang-Zhou Dai, Jian Yang, Le-Wen Cai, Shaofen Cheng, Ruizhang Huang, Yufeng Li, Zhi-Hua Zhou |
| 2020 | Semi-Supervised Partial Multi-Label Learning. Ming-Kun Xie, Sheng-Jun Huang |
| 2020 | Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent. Xiaosa Zhao, Kunpeng Liu, Wei Fan, Lu Jiang, Xiaowei Zhao, Minghao Yin, Yanjie Fu |
| 2020 | Soft Graph Matching: Submodular Relaxation and Lovász Extension. Aritra Konar, Nicholas D. Sidiropoulos |
| 2020 | Soft policy optimization using dual-track advantage estimator. Yubo Huang, Xuechun Wang, Luobao Zou, Zhiwei Zhuang, Weidong Zhang |
| 2020 | Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting. Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah |
| 2020 | Stochastic Hard Thresholding Algorithms for AUC Maximization. Zhenhuan Yang, Baojian Zhou, Yunwen Lei, Yiming Ying |
| 2020 | Structure-based Knowledge Tracing: An Influence Propagation View. Shiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, Shijin Wang |
| 2020 | Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning. Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu |
| 2020 | T Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong |
| 2020 | TADO: Time-varying Attention with Dual-Optimizer Model. Yuexin Wu, Tianyu Gao, Sihao Wang, Zhongmin Xiong |
| 2020 | TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting. Xu Chen, Yuanxing Zhang, Lun Du, Zheng Fang, Yi Ren, Kaigui Bian, Kunqing Xie |
| 2020 | Technical Phrase Extraction for Patent Mining: A Multi-level Approach. Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Jianhui Ma, Qi Liu, Enhong Chen, Hanqing Tao, Ke Rui |
| 2020 | The Necessity of Geometrical Representation for Deep Graph Analysis. Mostafa Rahmani, Ping Li |
| 2020 | The Phantom Steering Effect in Q&A Websites. Nicholas Hoernle, Gregory Kehne, Ariel D. Procaccia, Kobi Gal |
| 2020 | The Relaxed Maximum Entropy Distribution and its Application to Pattern Discovery. Sebastian Dalleiger, Jilles Vreeken |
| 2020 | TopicOcean: An Ever-Increasing Topic Model With Meta-learning. Yuanfeng Song, Yongxin Tong, Siqi Bao, Di Jiang, Hua Wu, Raymond Chi-Wing Wong |
| 2020 | Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework. Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao |
| 2020 | Toward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal Transport. Liang Yang, Junhua Gu, Chuan Wang, Xiaochun Cao, Lu Zhai, Di Jin, Yuanfang Guo |
| 2020 | Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks. Wenbo Guo, Lun Wang, Yan Xu, Xinyu Xing, Min Du, Dawn Song |
| 2020 | TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis. Xin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo |
| 2020 | Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning. Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou |
| 2020 | Unsupervised Anomaly Detection on Multisensory Data from Honey Bee Colonies. Diren Senger, Carolin Johannsen, Alexandros Melemenidis, Alexander Goncharskiy, Thorsten Kluss |
| 2020 | ViVA: Semi-supervised Visualization via Variational Autoencoders. Sungtae An, Shenda Hong, Jimeng Sun |
| 2020 | Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias. Katharina Dost, Katerina Taskova, Patricia Riddle, Jörg Wicker |
| 2020 | cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction. Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo |